- mne.preprocessing.compute_proj_hfc(info, order=1, picks='meg', exclude='bads', *, accuracy='accurate', verbose=None)#
Generate projectors to perform homogeneous/harmonic correction to data.
mne.Infoobject with information about the sensors and methods of measurement.
The order of the spherical harmonic basis set to use. Set to 1 to use only the homogeneous field component (default), 2 to add gradients, 3 to add quadrature terms etc.
str| array_like |
Channels to include. Default of
'meg'(same as None) will select all non-reference MEG channels. Use
('meg', 'ref_meg')to include reference sensors as well.
List of channels to exclude from HFC, only used when picking based on types (e.g., exclude=”bads” when picks=”meg”). Specify
'bads'(the default) to exclude all channels marked as bad.
"accurate"(default), defines which level of coil definition accuracy is used to generate model.
To apply the projectors to a dataset, use
New in v1.4.
Tim M. Tierney, Nicholas Alexander, Stephanie Mellor, Niall Holmes, Robert Seymour, George C. O’Neill, Eleanor A. Maguire, and Gareth R. Barnes. Modelling optically pumped magnetometer interference in meg as a spatially homogeneous magnetic field. NeuroImage, 2021. doi:10.1016/j.neuroimage.2021.118484.
Tim M. Tierney, George C. Mellor, Stephanie nd O’Neill, Ryan C. Timms, and Gareth R. Barnes. Spherical harmonic based noise rejection and neuronal sampling with multi-axis opms. NeuroImage, 2022. doi:10.1016/j.neuroimage.2022.119338.